Coherent
This role focuses on building the meta-layer of modern machine learning by designing and implementing agentic workflows, AI-native systems, and self-improving loops that accelerate model development. The position involves creating robust, scalable Python and PyTorch codebases, developing evaluation platforms, and maintaining multimodal ML pipelines to enhance researcher and developer productivity. Candidates will work in a fast-paced environment to turn ambiguous ideas into reliable, automated systems that improve AI capabilities.
Headquarters
Saxonburg, Pennsylvania, United States
Company Size
10001+ employees
Founded
1971
Coherent is a global leader in lasers, photonics, engineered materials and networking technologies, providing lasers, optical components, subsystems and materials to industrial, communications, electronics and instrumentation markets. The company develops high‑performance laser systems and photonic solutions for applications such as materials processing, microelectronics, fiber‑optic communications, sensing and scientific research. Combining extensive R&D, global manufacturing and application engineering, Coherent delivers customized systems, components and support that enable customers’ breakthrough technologies worldwide.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Coherent.
112% above the average for this role